[HTML][HTML] Deep learning-based improved WCM technique for soil moisture retrieval with satellite images
The water cycle around the globe is significantly impacted by the moisture in the soil.
However, finding a quick and practical model to cope with the enormous amount of data is a …
However, finding a quick and practical model to cope with the enormous amount of data is a …
Soil water content estimation with the presence of vegetation using ultra wideband radar-drone
Radar–drone system is potentially implemented as a method for collecting the soil water
content of a large area. Vegetation that may covers the soil surface affects the detection …
content of a large area. Vegetation that may covers the soil surface affects the detection …
Appraising the crop health response to water stress from enhanced crop and soil water estimates using SAR data and machine learning approaches
NM Gopi, S Periasamy - International Journal of Remote Sensing, 2023 - Taylor & Francis
Precise information on soil moisture (SM) and crop water dynamics is essential for
hydrological and agricultural applications. The SM measurements from SAR data are …
hydrological and agricultural applications. The SM measurements from SAR data are …
Potential of Remote Sensing images for Soil Moisture Retrieving using Ensemble Learning methods in vegetation-covered area
Y Gao, L Wang, G Zhong, Y Wang… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Soil moisture (SM) plays a critical role in various fields such as agriculture, hydrology, and
land-atmosphere interactions. This study aims to evaluate the performance of the categorical …
land-atmosphere interactions. This study aims to evaluate the performance of the categorical …
Soil moisture retrieval from sentinel-1 and sentinel-2 data using ensemble learning over vegetated fields
L Wang, Y Gao - IEEE Journal of Selected Topics in Applied …, 2023 - ieeexplore.ieee.org
Soil moisture (SM) is valuable basic data in climate, hydrological models, and agricultural
applications. The rapid development of remote sensing technology can be used to monitor …
applications. The rapid development of remote sensing technology can be used to monitor …
[HTML][HTML] Bias-Corrected RADARSAT-2 Soil Moisture Dynamics Reveal Discharge Hysteresis at An Agricultural Watershed
JH Lee, KE Lindenschmidt - Remote Sensing, 2023 - mdpi.com
Satellites are designed to monitor geospatial data over large areas at a catchment scale.
However, most of satellite validation works are conducted at local point scales with a lack of …
However, most of satellite validation works are conducted at local point scales with a lack of …
[PDF][PDF] Bias-Corrected RADARSAT-2 Soil Moisture Dynamics Reveal Discharge Hysteresis at An Agricultural Watershed. Remote Sens. 2023, 15, 2677
JH Lee, KE Lindenschmidt - 2023 - harvest.usask.ca
Satellites are designed to monitor geospatial data over large areas at a catchment scale.
However, most of satellite validation works are conducted at local point scales with a lack of …
However, most of satellite validation works are conducted at local point scales with a lack of …
[PDF][PDF] Soil Water Content Estimation With the Presence of Vegetation Using Ultra Wideband Radar-Drone
MD PRASETIO, AN JATI, R WULANSARI - academia.edu
Radar–drone system is potentially implemented as a method for collecting the soil water
content of a large area. Vegetation that may covers the soil surface affects the detection …
content of a large area. Vegetation that may covers the soil surface affects the detection …
[引用][C] Soil priorities in Israel.
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